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Economics Data Science Jobs (NOW HIRING)

D. in Economics, Data Science, Statistics, Mathematics, or a related field. * Minimum of 5 years of experience in data science, analytics, or a related field. * Proven track record in developing and ...

Completed master's or other advanced degree in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Data Engineer, PXT Central Science

Seattle, WA ยท On-site

$130K - $156K/yr

The PXT Central Science team is looking for a Data Engineer ... This individual will join a team of economists and scientists to own and accelerate science and ...

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Are you interested in ... Design, develop, and evaluate statistical, econometric, and machine learning models where ...

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Data Engineer, PXT Central Science

Seattle, WA ยท On-site

$130K - $156K/yr

The PXT Central Science team is looking for a Data Engineer ... This individual will join a team of economists and scientists to own and accelerate science and ...

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Economics Data Science information

See salary details

$41.5K

$142.5K

$201K

How much do economics data science jobs pay per year?

As of Jun 20, 2026, the average yearly pay for economics data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

Can economics majors work in data science?

Economics majors can work in data science as they often have strong analytical, statistical, and economic modeling skills. Success in data science roles typically requires proficiency in programming languages like Python or R, and familiarity with data analysis tools and machine learning techniques.

What are common projects or responsibilities for professionals in Economics Data Science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

What is economics data science?

Economics data science is a field that combines economic theory with data analysis and statistical methods to understand and solve economic problems. Professionals in this area use tools like Python, R, and econometrics to analyze large datasets, forecast trends, and inform policy or business decisions.

What are the key skills and qualifications needed to thrive in the Economics Data Science position, and why are they important?

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

How is data science used in economics?

Economics data scientists analyze large datasets to identify trends, build predictive models, and inform policy decisions. They use statistical tools, machine learning algorithms, and programming languages like Python or R to interpret economic data and support evidence-based strategies.

What can I do with a data science and economics degree?

A data science and economics degree prepares individuals for roles such as economic analyst, data scientist, financial analyst, or policy analyst. These roles involve analyzing economic data, building models, and using tools like Python, R, or SQL to inform decision-making in finance, government, or consulting sectors.

What is an Economics Data Science job?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

More about Economics Data Science jobs
What cities are hiring for Economics Data Science jobs? Cities with the most Economics Data Science job openings:
What are the most commonly searched types of Economics Data Science jobs? The most popular types of Economics Data Science jobs are:
What states have the most Economics Data Science jobs? States with the most job openings for Economics Data Science jobs include:
Infographic showing various Economics Data Science job openings in the United States as of June 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Data Scientist Associate - Data Scientist Sr.

Aep

Fort Wayne, IN โ€ข On-site

$98K - $128K/yr

Full-time

Posted 12 days ago


Job description

Job Posting End Date

06-17-2026

Please note the job posting will close on the day before the posting end date.

Job Summary

The Perfect Power Data Scientist will be responsible for conducting analyses on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. This includes data mining, data auditing, aggregation, validation, and reconciliation. Create visual dashboards to develop reliable real-time visibility into key metrics and access deeper analysis, forecasting, and scenario modeling. Utilizes analytics and statistical software such as SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and others to perform analysis and interpret data. This role would help to automate tasks, improve the quality of reporting and introduce advanced analytics for the company to make faster, smarter decisions.

Job Description

What you'll do:

ESSENTIAL JOB FUNCTIONS

  • Development of analytical solutions to solve high-value business problems across AEP.

  • Utilize analytical tools and data management skills to provide actionable business intelligence.

  • Build business knowledge across the organization and utilize knowledge to assist in the development of meaningful analyses.

  • Help identify, acquire, and provide management of data needed for various analytic studies.

  • Assist in the development of components of predictive and prescriptive systems to optimize operations and support strategic initiatives.

  • Apply data visualization tools to large data sets to enhance data understanding.

  • Acquire knowledge of business processes and data acquisition practices from business units using disparate systems.

  • Collaborate with technology partners to develop data acquisition and data management practices.

  • Help develop concise meaningful written reports and provide oral presentation of information, reporting dashboards that meet business needs for status, trends, and variances.

  • Collaborate with technology and business units to operationalize meaningful reports and dashboards.

What we're looking for:

Minimum requirements for SG 06 Data Scientist Associate:

Education requirements are listed below:

  • Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

Work Experience requirement listed below:

  • No additional experience is required.

  • An equivalent combination of education and related experience may be considered.

Minimum requirements for SG 07 Data Scientist:

Education requirements are listed below:

  • Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

Work Experience requirement listed below:

  • 2 years of relevant work experience is required.

  • An equivalent combination of education and related experience may be considered.

Minimum requirements for SG 08 Data Scientist Sr.:

Education requirements are listed below:

  • Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

Work Experience requirement listed below:

  • 5 years of relevant work experience is required.

  • An equivalent combination of education and related experience may be considered.

What you'll get:

SG 06 Data Scientist Associate salary starting between: $74,551-$93,189

SG 07 Data Scientist salary starting between: $87,633-$109,544

SG 08 Data Scientist Sr. salary starting between: $98,993-$128,689

In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.

At AEP, we're more than just an energy company - we're a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!

Compensation Data

Compensation Grade:

SP20-006

Compensation Range:

$74,551.00 - $128,688.00

The Physical Demand Level for this job is: S - Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.

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It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.